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AI · head to head

Leonardo AI vs Seldon

Leonardo AI logo

Leonardo AI

AI

AI-powered creative suite for image generation

From
Free
Free plan
Yes
Full reviewWebsite
Seldon logo

Seldon

Machine Learning

Kubernetes model serving whose current version is licensed under the Business Source Licence

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Leonardo AI video generation trails specialized video tools like Pika, with no native timeline editing or motion interpolation; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • They diverge on capability: Leonardo AI covers Text-to-image, Seldon covers Kubernetes custom resources.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Leonardo AI and Seldon actually diverge.

Attributes where Leonardo AI and Seldon differ
AttributeLeonardo AISeldon
Pricing modelUnknownfreemium
PlatformsWeb, APILinux
CategoryAIMachine Learning
Founded20222014

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Leonardo AI

  • Text-to-image
  • Model training
  • Canvas editor
  • Motion generation
  • API access
  • Photoshop plugin
  • Web support
  • Api support

Only in Seldon

  • Kubernetes custom resources
  • Inference graphs
  • Traffic strategies
  • Open Inference Protocol
  • Alibi Explain
  • Alibi Detect
  • Kafka-backed pipelines in v2
  • Commercial control plane

What people use each for

The jobs each tool is most often brought in to do.

Leonardo AI

  • ai tools managementnot Seldon
  • Workflow automationnot Seldon
  • Reportingnot Seldon

Seldon

  • Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Leonardo AI
  • Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Leonardo AI
  • Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Leonardo AI
  • Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Leonardo AI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Leonardo AI

  • Video generation trails specialized video tools like Pika, with no native timeline editing or motion interpolation
  • Credits consume rapidly for professional use, particularly at 4K resolution
  • Limited traditional image editing tools compared to desktop software
  • Image quality and consistency inconsistent compared to some competitors on certain prompt types
  • Advanced features requiring custom model training add complexity and cost

Seldon

  • Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
  • Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
  • Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
  • Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.

Pricing, plan by plan

Leonardo AI

Free
  • Essential$12/month
    • 8,500 monthly tokens
    • Fine-tuned models
    • Image-to-image
  • Premium$30/month
    • Unlimited relaxed generation on Phoenix and Lucid Origin models
    • Faster generation speed
    • Advanced options
  • Ultimate$60/month
    • 60,000 monthly tokens
    • Maximum concurrent jobs
    • Highest priority generation queue

Seldon

Free
  • Seldon CoreFree
    • Open source
    • Kubernetes deployment
    • Model serving
  • Seldon DeployFree
    • Enterprise features
    • GUI
    • Monitoring

Which should you pick?

Choose Leonardo AI if

  • You need text-to-image.
  • You want to start without paying.
  • You work on Web, API.
  • You also want model training.
Leonardo AI review

Choose Seldon if

  • You need kubernetes custom resources.
  • You want to start without paying.
  • You work on Linux.
  • You also want inference graphs.
Seldon review

Questions people ask

Is Leonardo AI or Seldon better?
Neither clearly leads. Leonardo AI starts at Free and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Leonardo AI or Seldon?
Leonardo AI starts at Free and Seldon at Free.
Does Leonardo AI or Seldon run on more platforms?
Leonardo AI runs on Web, API. Seldon runs on Linux.
Can I use Leonardo AI for free?
Both have a free tier, so you can try either at no cost before committing.
What is Leonardo AI best used for?
Leonardo AI is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Seldon is typically brought in for.
What can Leonardo AI do that Seldon cannot?
Leonardo AI covers Text-to-image, Model training, Canvas editor, Motion generation. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.

Answered from the vendors’ own pages

Leonardo AI: Does Leonardo AI grant commercial rights to generated images?

Yes. All Leonardo AI plans grant full ownership and unrestricted commercial rights to generated images, allowing creators to sell AI-generated art and use outputs in commercial products.

Source
Seldon: Is Seldon open source?

Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.

Leonardo AI: How does Leonardo's Real-Time Canvas work?

The Real-Time Canvas is a freeform workspace where images generate as you draw, type prompts, or add elements, updating the output approximately every 2 seconds per stroke, supporting inpainting, outpainting, and composite editing.

Source
Seldon: What is the difference between v1 and v2?

Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.

Leonardo AI: What models does Leonardo AI offer beyond its own?

Leonardo API supports both in-house models (Phoenix, Lucid Origin, Lucid Realism) and third-party models including FLUX.1, Ideogram 3.0, GPT Image, Kling, Veo, and others under a unified pay-as-you-go API surface.

Source
Seldon: Do I need Kubernetes?

Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.

Leonardo AI: What is included in the free tier?

The free plan provides 150 tokens per day enabling hundreds of images per month, but outputs are non-commercial only; paid plans starting at $12/month unlock commercial rights and higher token allocations.

Source
Seldon: What is MLServer?

Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.

Seldon: Do I have to run Kafka?

For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.

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